An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking | |
Chen, Weihua; Cao, Lijun; Chen, Xiaotang; Huang, Kaiqi | |
发表期刊 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY |
2017-11-01 | |
卷号 | 27期号:11页码:2367-2381 |
文章类型 | Article |
摘要 | Nonoverlapping multicamera visual object tracking typically consists of two steps: single-camera object tracking (SCT) and inter-camera object tracking (ICT). Most of tracking methods focus on SCT, which happens in the same scene, while for real surveillance scenes, ICT is needed and single-camera tracking methods cannot work effectively. In this paper, we try to improve the overall multicamera object tracking performance by a global graph model with an improved similarity metric. Our method treats the similarities of single-camera tracking and inter-camera tracking differently and obtains the optimization in a global graph model. The results show that our method can work better even in the condition of poor SCT. |
关键词 | Global Graph Model Multicamera Multiobject Tracking Nonoverlapping Visual Object Tracking |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TCSVT.2016.2589619 |
关键词[WOS] | MULTITARGET TRACKING ; VISUAL TRACKING ; PERSON REIDENTIFICATION ; PEOPLE TRACKING ; SURVEILLANCE ; ASSOCIATION ; MAP |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | National Basic Research Program of China(2012CB316302) ; National Natural Science Foundation of China(61322209 ; Strategic Priority Research Program within the Chinese Academy of Sciences(XDA06040102) ; International Partnership Program of Chinese Academy of Sciences(173211KYSB2016008) ; 61403383) |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000415683100008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/20750 |
专题 | 模式识别实验室 |
作者单位 | Chinese Acad Sci, Inst Automat, Ctr Res Intelligent Percept & Comp, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Chen, Weihua,Cao, Lijun,Chen, Xiaotang,et al. An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2017,27(11):2367-2381. |
APA | Chen, Weihua,Cao, Lijun,Chen, Xiaotang,&Huang, Kaiqi.(2017).An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,27(11),2367-2381. |
MLA | Chen, Weihua,et al."An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 27.11(2017):2367-2381. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
TCSVT2017-An Equalis(16585KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 |
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